A Pearson product-moment correlation coefficient of -1 indicates a perfect negative linear relationship between two variables. This means that as one variable increases, the other variable decreases in a perfectly linear manner. In practical terms, every increase in one variable corresponds to a proportional decrease in the other, with no exceptions. This extreme value signifies a strong inverse correlation, suggesting that the two variables are closely related but move in opposite directions.
No, the Pearson coefficient does not equal 40.
It is 2
if coefficient of skewness is zero then distribution is symmetric or zero skewed.
The coefficient of the expression ( 4 \times 450 ) is 4. In this context, the coefficient refers to the numerical factor that multiplies the variable or term—in this case, the number 4 is the coefficient of the product. The overall product equals 1800, but the coefficient remains 4.
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No, the Pearson coefficient does not equal 40.
Points tightly clustered around a line that slopes up to the right
y = cos ( x ). z = cos ( x + 180 degrees ).
Nothing happens. It simply means that there is no linear relationship between the two variables. It is possible that there is a non-linear relationship or that there is none.
8 is the coefficient. A coefficient is the number in front of a variable.
It is 2
The only coefficient here is just 1
The coefficient is -3.
Since y=14x is a perfect linear relation, the correlation would be 1.
if coefficient of skewness is zero then distribution is symmetric or zero skewed.
The coefficient of the expression ( 4 \times 450 ) is 4. In this context, the coefficient refers to the numerical factor that multiplies the variable or term—in this case, the number 4 is the coefficient of the product. The overall product equals 1800, but the coefficient remains 4.